Binary Analysis with Architecture and Code Section Detection Using Supervised Machine Learning

Binary Analysis with Architecture and Code Section Detection Using Supervised Machine Learning

Explore binary analysis techniques focusing on architecture and code section detection using supervised machine learning in this 18-minute IEEE conference talk. Delve into the challenges of binary analysis, learn about histogram-based approaches, and understand the concept of endian nesting. Discover methods for improving architecture detection and gain insights into the latest advancements in this field. Conclude with a Q&A session to address any lingering questions on this cutting-edge topic in computer science and cybersecurity.